PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-03 10:25:01.148495+00:00 (UTC)
In US/Central Time, this is 2024-06-03 05:25:01.148495-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/e2a899ec2514adf9d133a649aec317ebb65b7947c989acd95e480e8c00eba7ea.png
We are just generating a random time serie here.
../../_images/4a2c5dc09ccce4da42821e85ed0ee17dda8d2a5ff2d8e80d7759c85ae609e958.png
../../_images/5e2fa981c21abd9ec6e7376572cbc52cdf01114b6a879c8ead099b7085533a97.png